مهندسی شیمی ایران

مهندسی شیمی ایران

روی‌کردی نسبتاً خطی برای طراحی شبکۀ مبدل‌های حرارتی با امکان استفاده‌از مبدل‌های یوتیلیتی داخلی

نوع مقاله : مقاله پژوهشی

نویسندگان
1 دانشجوی دکتری مهندسی شیمی، گروه مهندسی شیمی، دانشکدۀ فنی مهندسی، دانشگاه آزاد اسلامی واحد اهر، اهر، ایران
2 استادیار مهندسی شیمی، دانشکدۀ فنی مهندسی، دانشگاه مراغه، مراغه، ایران
3 استادیار مهندسی شیمی، دانشکدۀ فنی مهندسی، دانشگاه آزاد اسلامی واحد اهر، اهر، ایران
چکیده
در این تحقیق، از یک روش ترکیبی ساده، برای حل مسائل طراحی شبکۀ مبدل‌های حرارتی استفاده شد. مدل‌های حاکمبر این مسائل ذاتاً به‌صورت مدل‌های غیرخطی نامحدب هستند که حل آنها بسیار چالش‌برانگیز است. در این روش جدید، مدیریت متغیرهای ساختاری برای رسیدن به شبکه‌های بهینه به‌وسیلۀ الگوریتم ژنتیک انجام می‌شد؛ درحالی‌که، بهینه‌سازی متغیرهای پیوسته به‌ترتیب در قسمت اول به‌وسیلۀ مدل برنامه‌ریزی خطی و در قسمت دوم بااستفادهاز فرایند تصحیح، انجام می‌گرفت. در ساختارهای تولیدی به‌وسیلۀ الگوریتم ژنتیک، برای افزایش فضای جست‌وجو، امکان استفادهاز مبدلهای یوتیلیتی داخلی نیز، مهیا شدهبود. بدین روش، مدل‌های پیچیدۀ حاکمبر مسائل طراحی شبکۀ مبدلی، تبدیل به مدل ترکیبی ساده و نسبتاً خطی است که احتمال رسیدن به جوابهای بهینه را بالا می‌برد. باوجود سادهبودن عملکرد روی‌کرد پیشنهادی، اجرای آن برروی یک مطالعه موردی پر استناد، کارایی بالای آن را در تولید جوابهای جدید و کاهش هزینۀ کل سالانۀ شبکه بهمیزان 21/1 درصد، نشان داد.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Relatively Linear Approach for Designing Heat Exchanger Networks with the Possibility of Employing Internal Utility Exchangers

نویسندگان English

Z. Pirzadeh 1
H. Soltani 2
M. Fallahi-Samberan 3
R. Hajimohammadi 3
B. MemarMaher 3
1 Ph. D. Student of Chemical Engineering, Department of Chemical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran
2 Assistant Professor of Chemical Engineering, Department of Chemical Engineering, Faculty of Engineering, University of Maragheh, Maragheh, Iran
3 Assistant Professor of Chemical Engineering, Department of Chemical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran
چکیده English

This research presents a simple hybrid approach to tackle heat exchanger network (HEN) synthesis problems. The formulations governing these issues are inherently non-convex non-linear models, which are challenging to solve. In this new method, structural variables were managed by genetic algorithm (GA) to reach optimal networks. While the optimization of continuous variables was done in the first section by a linear programming (LP) model and in the second part by a correction procedure (COP). In production structures by the GA, to increase
the search space, the possibility of utilizing internal utility exchangers was also provided. In this way, the complex models governing the HEN synthesis problems were transformed into a straightforward and relatively linear hybrid strategy, which increased the likelihood of reaching optimal solutions. Despite the simplicity of the proposed approach, implementing this method in a case study demonstrated its high efficiency in generating new solutions and reducing the total annual cost of the network by 1.21%.

کلیدواژه‌ها English

Heat Exchanger Network Synthesis
Total Annual Cost
Optimization
Genetic Algorithm
Utilizing Internal Utility Exchangers
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